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Measuring information demand of a dynamic in-vehicle display while driving - A study evaluating the MARS (Masking Action Relevant Stimuli) method

机译:驾驶时测量动态车载显示器的信息需求-评估MARS(与动作相关刺激)方法的研究

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The MARS (Masking Action Relevant Stimuli) method assesses information demand for dynamic stimuli while driving. An action relevant stimulus is masked and the driver presses a button to unmask the stimulus for a limited period. We interpreted button presses as information demand. Following our previous research (Rittger, Kiesel, Schmidt, & Maag, 2014), the current study further evaluates the method. We applied the MARS method to a dynamic in-vehicle display containing recommendations from a traffic light assistant. In a driving simulator, drivers approached intersections with different traffic light phasing. The display either presented simple or complex information. In half of the drives, the participants used the MARS method. The study had a full within subjects design and fixations were recorded in all conditions. The results showed that the information demand varied according to the information in the display and the traffic light phase. A comparison of button presses with fixations showed that one unmasking interval came along with one fixation on the display. As a conclusion, the MARS method can distinguish between conditions with high and low information demand for the display. Button presses relate to fixations on the display. Hence, the MARS method is a promising tool to assess the information demand in dynamic environments and can be applied as an extension or alternative for eye tracking. (C) 2017 Elsevier Ltd. All rights reserved.
机译:MARS(与屏蔽动作相关的刺激)方法可评估驾驶时对动态刺激的信息需求。屏蔽了与动作相关的刺激,并且驾驶员在限定时间内按下按钮以取消屏蔽该刺激。我们将按钮按下解释为信息需求。在我们之前的研究(Rittger,Kiesel,Schmidt和Maag,2014年)之后,当前的研究进一步评估了该方法。我们将MARS方法应用于包含交通信号灯助手建议的动态车载显示器。在驾驶模拟器中,驾驶员以不同的交通信号灯相位接近交叉路口。显示屏显示简单或复杂的信息。在一半的驱动器中,参与者使用了MARS方法。该研究对受试者进行了全面设计,并记录了所有情况下的注视情况。结果表明,信息需求随显示器和交通信号灯阶段中的信息而变化。将按钮按压与固定装置进行比较,结果显示一个固定的间隔与一个固定装置同时出现。结论是,MARS方法可以区分信息显示需求高和低的条件。按钮的按下与显示器上的固定有关。因此,MARS方法是评估动态环境中信息需求的一种有前途的工具,可以用作眼睛跟踪的扩展或替代方法。 (C)2017 Elsevier Ltd.保留所有权利。

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